Jessica will be discussing advanced data analytics and machine learning techniques that are currently used in the bank to drive the efficiency and effectiveness of the Compliance Program, including its applications to the annual risk assessment and client risk rating model. In addition, she will show case how machine learning supervised models are used to decrease the false positives and how to identify additional true positives using unsupervised learning in the transaction monitoring space.